Zizheng Zhan — accepted AI-conference papers

2026

SWE-Compass: Towards Unified Evaluation of Agentic Coding Abilities for Large Language Models

Jingxuan Xu, Ken Deng, Weihao Li, Songwei Yu, Haoyang Huang, Yifan Yao +32

ICML 2026poster

Evaluating large language models (LLMs) for software engineering has been limited by narrow task coverage, language bias, and insufficient alignment with real-world developer workflows. Existing benchmarks often focus on algorithmic problems or Python-centric bug fixing, leaving critical dimensions …

Cited by 0 Source ↗Scholar ↗

2025

OASIS: Order-Augmented Strategy for Improved Code Search

Gao Zuchen, Zizheng Zhan, Xianming Li, Erxin Yu, Haotian Zhang, Chenbin Chenbin +2

ACL 2025long

Code embeddings capture the semantic representations of code and are crucial for various code-related large language model (LLM) applications, such as code search. Previous training primarily relies on optimizing the InfoNCE loss by comparing positive natural language (NL)-code pairs with in-batch n…

Cited by 0 Source ↗PDF ↗code ↗Scholar ↗